On the Analysis of Fingertip Photoplethysmogram Signals

Photoplethysmography and its application in clinical physiological measurement

Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967 · see citing works

Assessment of fat-free mass using bioelectrical impedance measurements of the human body

Lukaski, H., Johnson, P., Bolonchuk, W., & Lykken, G. (1985) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/41.4.810 · Cited by 1,896 · see citing works

Investigation of Chronic Venous Insufficiency: A Consensus Statement

Nicolaides, A. N. (2000) · Circulation · doi:10.1161/01.cir.102.20.e126 · Cited by 945 · see citing works

Fifteen years experience with finger arterial pressure monitoring: assessment of the technology

Imholz, B. P. M. (1998) · Cardiovascular Research · doi:10.1016/s0008-6363(98)00067-4 · Cited by 837 · see citing works

Determination of age-related increases in large artery stiffness by digital pulse contour analysis

Millasseau, S., Kelly, R. P., Ritter, J., & Chowienczyk, P. (2002) · Clinical Science · doi:10.1042/cs1030371 · Cited by 624 · see citing works

Assessment of vasoactive agents and vascular aging by the second derivative of photoplethysmogram waveform

Takazawa, K., Tanaka, N., Fujita, M., Matsuoka, O., Saiki, T., Aikawa, M., Tamura, S., & Ibukiyama, C. (1998) · Hypertension · doi:10.1161/01.hyp.32.2.365 · Cited by 589 · see citing works

Photoelectric measurement of blood pressure, volume and flow in the finger

Peňáz, J. (1973) · Medical Entomology and Zoology · Cited by 528 · see citing works

Mobile monitoring with wearable photoplethysmographic biosensors

Asada, H. H., Shaltis, P., Reisner, A., Rhee, S., & Hutchinson, R. C. (2003) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2003.1213624 · Cited by 466 · see citing works

Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions.

Gil, E., Orini, M., Bailón, R., Vergara, J. M., Mainardi, L., & Laguna, P. (2010) · Physiological Measurement · doi:10.1088/0967-3334/31/9/015 · Cited by 461 · see citing works

THE BLOOD SUPPLY OF VARIOUS SKIN AREAS AS ESTIMATED BY THE PHOTOELECTRIC PLETHYSMOGRAPH

Hertzman, A. B. (1938) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1938.124.2.328 · Cited by 455 · see citing works

Photoplethysmography: Beyond the Calculation of Arterial Oxygen Saturation and Heart Rate

Shelley, K. H. (2007) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000269512.82836.c9 · Cited by 450 · see citing works

Utility of the Photoplethysmogram in Circulatory Monitoring

Reisner, A. T., Shaltis, P., McCombie, D. B., Asada, H. H., Warner, D. S., & Warner, M. A. A. (2008) · Anesthesiology · doi:10.1097/aln.0b013e31816c89e1 · Cited by 365 · see citing works

Noninvasive Assessment of the Digital Volume Pulse

Millasseau, S., Guigui, F. G., Kelly, R. P., Prasad, K., Cockcroft, J., Ritter, J. M., & Chowienczyk, P. (2000) · Hypertension · doi:10.1161/01.hyp.36.6.952 · Cited by 292 · see citing works

27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

(2005) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2005.845677 · Cited by 288 · see citing works

Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information?

Lu, S. F., Zhao, H., Ju, K., Shin, K., Lee, M., Shelley, K. H., & Chon, K. H. (2007) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-007-9103-y · Cited by 284 · see citing works

Assessment of vascular aging and atherosclerosis in hypertensive subjects: second derivative of photoplethysmogram versus pulse wave velocity

Bortolotto, L. A., Blacher, J., Kondo, T., Takazawa, K., & Safar, M. E. (2000) · American Journal of Hypertension · doi:10.1016/s0895-7061(99)00192-2 · Cited by 272 · see citing works

Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique

Nakajima, K., TAMURA, T., & Miike, H. (1996) · Medical Engineering & Physics · doi:10.1016/1350-4533(95)00066-6 · Cited by 244 · see citing works

The peripheral pulse wave: Information overlooked

Murray, W. B., & Foster, P. A. (1996) · The Journal of Clinical Monitoring · doi:10.1007/bf02077634 · Cited by 231 · see citing works

Predicting Arterial Stiffness From the Digital Volume Pulse Waveform

Alty, S. R., Angarita-Jaimes, N., Millasseau, S., & Chowienczyk, P. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.897805 · Cited by 192 · see citing works

PHOTO-ELECTRIC PLETHYSMOGRAPHY AS A MONITORING DEVICE IN ANAESTHESIA

Dorlas, J. C., & Nijboer, J. A. (1985) · British Journal of Anaesthesia · doi:10.1093/bja/57.5.524 · Cited by 160 · see citing works

The role of air plethysmography in the diagnosis of chronic venous insufficiency

Criado, E., Farber, M. A., Marston, W. A., Daniel, P. F., Burnham, C. B., & Keagy, B. A. (1998) · Journal of Vascular Surgery · doi:10.1016/s0741-5214(98)70231-9 · Cited by 145 · see citing works

Patterns of venous reflux in limbs with skin changes associated with chronic venous insufficiency

Lees, T. A., & Lambert, D. (1993) · British journal of surgery · doi:10.1002/bjs.1800800617 · Cited by 145 · see citing works

The relationship between the photoplethysmographic waveform and systemic vascular resistance

Alian, A. A., Haddadin, A. S., Tantawy, H., Badr, T., Stout, R. G., Silverman, D. G., & Shelley, K. H. (2007) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-007-9097-5 · Cited by 136 · see citing works

Journal of Clinical Monitoring and Computing

(2023) · Journal of Clinical Monitoring and Computing · doi:10.1007/10877.1573-2614 · Cited by 134 · see citing works

Pulse wave velocity and the second derivative of the finger photoplethysmogram in treated hypertensive patients

Hashimoto, J., Chonan, K., Aoki, Y., Nishimura, T., Ohkubo, T., Hozawa, A., Suzuki, M., Matsubara, M., Michimata, M., Araki, T., et al. (2002) · Journal of Hypertension · doi:10.1097/00004872-200212000-00021 · Cited by 122 · see citing works

EEG spectral entropy, heart rate, photoplethysmography and motor responses to skin incision during sevoflurane anaesthesia

Seitsonen, E. R. J., Korhonen, I. K. J., Van Gils, M. J., Huiku, M., Lötjönen, J. M. P., Korttila, K. T., & Yli‐Hankala, A. M. (2005) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2005.00654.x · Cited by 120 · see citing works

Correlation between Wave Components of the Second Derivative of Plethysmogram and Arterial Distensibility.

Imanaga, I., Hara, H., KOYANAGI, S., & TANAKA, K. (1998) · Japanese Heart Journal · doi:10.1536/ihj.39.775 · Cited by 118 · see citing works

Noninvasive cardiac output estimation using a novel photoplethysmogram index

Wang, L., Pickwell‐MacPherson, E., Liang, Y. P., & Zhang, Y. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333091 · Cited by 117 · see citing works

Photoplethysmography and nociception

Korhonen, I., & Yli‐Hankala, A. (2009) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2009.02026.x · Cited by 105 · see citing works

Utility of Second Derivative of the Finger Photoplethysmogram for the Estimation of the Risk of Coronary Heart Disease in the General Population

Otsuka, T., Kawada, T., Katsumata, M., & Ibuki, C. (2006) · Circulation Journal · doi:10.1253/circj.70.304 · Cited by 103 · see citing works

Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode

Nilsson, L. M., Johansson, A., & Kálmán, S. (2005) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2005.00721.x · Cited by 78 · see citing works

Towards Using Photo-Plethysmogram Amplitude to Measure Blood Pressure During Sleep

Chua, E. C.-P., Redmond, S. J., McDarby, G., & Heneghan, C. (2010) · Annals of Biomedical Engineering · doi:10.1007/s10439-009-9882-z · Cited by 77 · see citing works

Effects of Physical Training on Peripheral Vascular Disease: A Controlled Study

Mannarino, E., Pasqualini, L., Menna, M. B., Maragoni, G., & Orlandi, U. (1989) · Angiology · doi:10.1177/000331978904000102 · Cited by 76 · see citing works

Heartbeat monitoring alert via SMS

Jubadi, W. M., & Sahak, S. (2009) · IEEE Symposium on Industrial Electronics & Applications (ISIEA) · doi:10.1109/isiea.2009.5356491 · Cited by 71 · see citing works

Assessment of relationships between blood pressure, pulse wave velocity and digital volume pulse

Padilla, J. M. S., BERJANO, E. J., Sáiz, J., Fácila, L., Díaz, P. T., & Merce, S. (2006) · Cited by 70 · see citing works

Second Derivative of Photoplethysmography for Estimating Vascular Aging

Baek, H. J., Kim, J. S., Kim, Y. S., Lee, H. B., & Park, K. S. (2007) · IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2007.4407346 · Cited by 69 · see citing works

Optical Techniques in the Assessment of Peripheral Arterial Disease

Alnaeb, M. E., Alobaid, N., Seifalian, A. M., Mikhailidis, D. P., & Hamilton, G. (2006) · Current Vascular Pharmacology · doi:10.2174/157016107779317242 · Cited by 69 · see citing works

Cardiac resynchronization therapy optimization by finger plethysmography

Butter, C., Stellbrink, C., Belalcazar, A., Villalta, D., Schlegl, M., Sinha, A. M., CUESTA, F., & Reister, C. A. (2004) · Heart Rhythm · doi:10.1016/j.hrthm.2004.07.002 · Cited by 67 · see citing works

Continuous Blood Pressure Monitoring using ECG and Finger Photoplethysmogram

Chua, C. P., & Heneghan, C. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259612 · Cited by 65 · see citing works

Measurement of Sexual Arousal in Postoperative Male-to-Female Transsexuals Using Vaginal Photoplethysmography

Lawrence, A. A., Latty, E. M., Chivers, M. L., & Bailey, J. M. (2005) · Archives of Sexual Behavior · doi:10.1007/s10508-005-1792-z · Cited by 63 · see citing works

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(2008) · Journal of Medical and Biological Engineering · Cited by 57 · see citing works

Using The Morphology of Photoplethysmogram Peaks to Detect Changes in Posture

Linder, S. P., Wendelken, S., Wei, E., & McGrath, S. P. (2006) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-006-9015-2 · Cited by 56 · see citing works

Photoplethysmography Analysis of Artery Properties in Patients with Cardiovascular Diseases

Rubīns, U., Grabovskis, A., Grūbe, J., & Kukulis, I. (2008) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-69367-3_85 · Cited by 55 · see citing works

A correlation of air plethysmography and color-flow–assisted duplex scanning in the quantification of chronic venous insufficiency

Weingarten, M. S., Czeredarczuk, M., Scovell, S. D., Branas, C. C., Mignogna, G. M., & Wolferth, C. C. (1996) · Journal of Vascular Surgery · doi:10.1016/s0741-5214(96)70008-3 · Cited by 52 · see citing works

Photoelectric measurement of blood pressure, volume and flow in the finger'In:Digest of the 10th International Conference on Medical and Biological Engineering

Peňáz, J. (1973) · Medical Entomology and Zoology · Cited by 50 · see citing works

Toe Blood Pressure Measurements in Patients Suspected of Leg Ischaemia: A New Laser Doppler Device Compared with Photoplethysmography

Ubbink, D. T. (2004) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2004.01.031 · Cited by 46 · see citing works

The finger volume pulse and assessment of arterial properties

Avolio, A. P. (2002) · Journal of Hypertension · doi:10.1097/00004872-200212000-00007 · Cited by 45 · see citing works

The vasomotor components in the vascular reactions in the finger to cold

Hertzman, A. B., & Roth, L. W. (1942) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1942.136.4.669 · Cited by 39 · see citing works

Assessment of chilly sensation in Japanese women with Laser Doppler Fluxmetry and Acceleration Plethysmogram with Respect to Peripheral Circulation

Ushiroyama, T., Kajimoto, Y., Sakuma, K., & Ueki, M. (2005) · Institutional Repositories DataBase (IRDB) · doi:10.57371/00000405 · Cited by 37 · see citing works

Assessment of relationships between blood pressure, pulse wave velocity and digital volume pulse

Padilla, Berjano, Sáiz, Facila, Diaz, & Merce (2006) · Computing in cardiology · Cited by 37 · see citing works

Local cold exposure test with a new arterial photoplethysmographic sensor in healthy controls and patients with secondary Raynaud’s phenomenon

Hahn, M., Hahn, C., Jünger, M., Steins, A., Zuder, D., Klyscz, T., Büchtemann, A., Rassner, G., & Blazek, V. (1999) · Microvascular Research · doi:10.1006/mvre.1998.2130 · Cited by 33 · see citing works

An overview of non-contact photoplethysmography

Demirezen, H., & Erdem, Ç. E. (2017) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2017.7960176 · Cited by 31 · see citing works

Automatic Ankle Pressure Measurements Using PPG in Ankle-brachial Pressure Index Determination

Jönsson, B., Laurent, C., Eneling, M., Skau, T., & Lindberg, L.-G. (2005) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2005.05.012 · Cited by 29 · see citing works

PERIPHERAL CIRCULATION DURING ANESTHESIA, SHOCK AND HEMORRHAGE; THE DIGITAL PLETHYSMOGRAPH AS A CLINICAL GUIDE

Foster, A., NEUMANN, C. G., & Rovenstine, E. A. (1945) · Anesthesiology · doi:10.1097/00000542-194505000-00004 · Cited by 29 · see citing works

An assessment of blood vessel vasoactivity using photoplethysmography.

Evans, M., & Geddes, L. A. (1988) · PubMed · Cited by 28 · see citing works

Methods of Evaluation and Quantification of Microangiopathy in High Perfusion Microangiopathy (Chronic Venous Insufficiency and Diabetic Microangiopathy)

DeSanctis, M. T., Cesarone, M. R., INCANDELA, L., Belcaro, G., & Acerbi, G. (2002) · Journal of Cardiovascular Pharmacology and Therapeutics · doi:10.1177/107424840200700102 · Cited by 25 · see citing works

Peripheral Hemodynamics Evaluated by Acceleration Plethysmography in Workers Exposed to Lead.

Aiba, Y., Ohshiba, S., Horiguchi, S., Morioka, I., Miyashita, K., Kiyota, I., Endo, G., Takada, H., & Iwata, H. (1999) · Industrial Health · doi:10.2486/indhealth.37.3 · Cited by 23 · see citing works

Kampo therapy for premenstrual syndrome: Efficacy of Kamishoyosan quantified using the second derivative of the fingertip photoplethysmogram

KIMURA, Y., Takamatsu, K., Fujii, A., Suzuki, M., Chikada, N., Tanada, R., Kume, Y., & Satō, H. (2007) · Journal of obstetrics and gynaecology research · doi:10.1111/j.1447-0756.2007.00531.x · Cited by 23 · see citing works

HEART RATE VARIABILITY MEASUREMENT USING THE SECOND DERIVATIVE PHOTOPLETHYSMOGRAM

Elgendi, M., Jonkman, M., & Boer, F. D. (2010) · International Conference on Bio-inspired Systems and Signal Processing · doi:10.5220/0002743300820087 · Cited by 22 · see citing works

The use of automated strain gauge plethysmography in the diagnosis of deep vein thrombosis

Maskell, N. A., Cooke, S., Jones, D. J. M., PRIOR, J. G., & Butland, R. J. (2002) · British Journal of Radiology · doi:10.1259/bjr.75.896.750648 · Cited by 22 · see citing works

Strain gauge plethysmography for the detection of deep venous thrombosis

Croal, S. A., Birkmyre, J., McNally, M., Hamilton, C., & Mollan, R. A. B. (1993) · Journal of Biomedical Engineering · doi:10.1016/0141-5425(93)90043-x · Cited by 21 · see citing works

Dicrotic notch detection using wavelet transform analysis

Antonelli, L. T., Ohley, W. J., & Khamlach, R. (2002) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.1994.415400 · Cited by 20 · see citing works

Changes in the Photoplethysmogram Waveform After Exercise

Poon, C. C. Y., Teng, X. F., Wong, Y. M., Zhang, C., & Zhang, Y. (2006) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmd.2004.1689576 · Cited by 19 · see citing works

Classification of Acceleration Plethysmogram Using Self-Organizing Map

Nousou, N., Urase, S., Maniwa, Y., Fujimura, K., & Fukui, Y. (2006) · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · doi:10.1109/ispacs.2006.364747 · Cited by 19 · see citing works

Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis

Tokutaka, H., Maniwa, Y., Gonda, E., Yamamoto, M., Kakihara, T., Kurata, M., Fujimura, K., Li, S., & Ohkita, M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02397-2_35 · Cited by 17 · see citing works

Blood-flow indices in amputee and control limbs by mutual electrical impedance plethysmography

Nyboer, J., Murray, P., & Sedensky, J. A. (1974) · American Heart Journal · doi:10.1016/0002-8703(74)90414-1 · Cited by 17 · see citing works

Cold sensitivity of the hand in arterial occlusive disease.

Hirai, M. (1979) · PubMed · Cited by 16 · see citing works

Applying the APG to measure Heart Rate Variability

Elgendi, M., Jonkman, M., & Boer, F. D. (2010) · doi:10.1109/iccae.2010.5452042 · Cited by 16 · see citing works

Evaluating the surgeon's stress when using surgical assistant robots

Taniguchi, K., Nishikawa, A., Nakagoe, H., Sugino, T., Sekimoto, M., Okada, K., Takiguchi, S., Monden, M., & Miyazaki, F. (2007) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/roman.2007.4415210 · Cited by 16 · see citing works

Evaluation of the Effects of Compression Stockings Using Venous Plethysmography in Persons With Spinal Cord Injury

Rimaud, D., Boissier, C., & Calmels, P. (2008) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2008.11760713 · Cited by 14 · see citing works

Measurement of a-a Intervals at Rest in the Second Derivative Plethysmogram

Elgendi, M., Jonkman, M., & Boer, F. D. (2009) · Cited by 13 · see citing works

RELATIONSHIP BETWEEN ACCELERATED PLETHYSMOGRAM, BLOOD PRESSURE AND ARTERIOLAR ELASTICITY

Homma, S. T., Ito, S., Koto, T., & IKEGAMI, H. (1992) · 体力科學 · doi:10.7600/jspfsm1949.41.98 · Cited by 13 · see citing works

Automated Bedside Measurement of Penile Blood Flow Using Pulse-Volume Plethysmography

Unno, N., Inuzuka, K., Mitsuoka, H., Ishimaru, K., Sagara, D., & Konno, H. (2006) · Surgery Today · doi:10.1007/s00595-005-3139-8 · Cited by 12 · see citing works

Maximal hand blood flow in hypertensive and normal subjects

Horwitz, D. L., & Patel, D. J. (1985) · The American Journal of Cardiology · doi:10.1016/0002-9149(85)90386-8 · Cited by 12 · see citing works

Continuous Limb Blood Flow Estimation in the Newborn Using Electrical Impedance Plethysmography

Costeloe, K., & Rolfe, P. J. (1980) · Pediatric Research · doi:10.1203/00006450-198009000-00007 · Cited by 12 · see citing works

Validation of a continuous penile blood-flow measurement by pulse-volume-plethysmography

Lavoisier, P., Barbe, R., & Gally, M. (2002) · International Journal of Impotence Research · doi:10.1038/sj.ijir.3900840 · Cited by 9 · see citing works

Assessment of venous function using photoplethysmography

Moore, D. J., Maher, T., Kingston, V., & Shanik, G. D. (1982) · Irish Journal of Medical Science (1971 -) · doi:10.1007/bf02940210 · Cited by 8 · see citing works

Evaluation of Mental Stress by Analyzing Accelerated Plethysmogram Applied Chaos Theory and Examination of Welfare Space Installed User's Vital Sign

Fujimoto, Y., & Yamaguchi, T. (2008) · IFAC Proceedings Volumes · doi:10.3182/20080706-5-kr-1001.01393 · Cited by 7 · see citing works

EFFECT OF RAPID DISTENSION OF LARGE ARTERIES AND VEINS ON THE VASCULAR TONE OF THE FINGERS

Heyman, F., & Ahlberg, N. E. (1968) · Acta Medica Scandinavica · doi:10.1111/j.0954-6820.1968.tb10487.x · Cited by 7 · see citing works

Methods of Evaluation and Quantification of Microangiopathy in High Perfusion Microangiopathy (Chronic Venous Insufficiency and Diabetic Microangiopathy)

Cesarone, M. R., Sanctis, M. T. D., INCANDELA, L., Belcaro, G., GRIFFIN, M. B., & Cacchio, M. (2001) · Angiology · doi:10.1177/000331970105202s02 · Cited by 7 · see citing works

A water-filled body plethysmograph for the measurement of pulmonary capillary blood flow during changes of intrathoracic pressure

Kawakami, Y., Menkes, H. A., & DuBois, A. B. (1970) · Journal of Clinical Investigation · doi:10.1172/jci106337 · Cited by 6 · see citing works

Chaos-based Quantitative Health Evaluation and Disease State Estimation by Acceleration Plethysmogram

Iokibe, T., KURIHARA, M., Maniwa, Y., Ohta, S., UCHIDA, I., Amata, M., & YAMAMOTO, M. (2003) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.15.565 · Cited by 5 · see citing works

Cowbird Research and Measuring Pulsatile Diffusing Capacity

Hyde, R. W. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.165.6.2112010 · Cited by 4 · see citing works

Continuous Blood Pressure Monitoring using ECG and Finger Photoplethysmogram

Chua, C. P., & Heneghan, C. (2006) · Conference proceedings · doi:10.1109/iembs.2006.4398605 · Cited by 3 · see citing works

The vasomotor components in the vascular reactions in the finger to cold

(1943) · American Heart Journal · doi:10.1016/s0002-8703(43)90408-9 · Cited by 1 · see citing works

A review on wearable photoplethysmography sensors and their potential future applications in health care

Ghamari, M. (2018) · International Journal of Biosensors & Bioelectronics · doi:10.15406/ijbsbe.2018.04.00125 · Cited by 945 · see citing works

Multifunctional materials for implantable and wearable photonic healthcare devices

Lee, G., Moon, H., Kim, H., Lee, G. H., Kwon, W., Yoo, S., Myung, D. J., Yun, S. H., Bao, Z., & Hahn, S. K. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0167-3 · Cited by 673 · see citing works

A wearable cardiac ultrasound imager

Hu, H., Huang, H., Li, M., Gao, X., Yin, L., Qi, R., Wu, R. S., Chen, X., Ma, Y., Shi, K., et al. (2023) · Nature · doi:10.1038/s41586-022-05498-z · Cited by 644 · see citing works

The use of photoplethysmography for assessing hypertension

Elgendi, M., Fletcher, R., Liang, Y., Howard, N., Lovell, N. H., Abbott, D., Lim, K., & Ward, R. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0136-7 · Cited by 625 · see citing works

Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring

Kachuee, M., Kiani, M. M., Mohammadzade, H., & Shabany, M. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2580904 · Cited by 621 · see citing works

Self‐Powered Pulse Sensor for Antidiastole of Cardiovascular Disease

Ouyang, H., Tian, J., Sun, G., Zou, Y., Liu, Z., Li, H., Zhao, L., Shi, B., Fan, Y., Fan, Y., et al. (2017) · Advanced Materials · doi:10.1002/adma.201703456 · Cited by 468 · see citing works

A Wireless Textile Based Sensor System for Self-Powered Personalized Health Care

Meng, K., Zhao, S., Zhou, Y., Wu, Y., Zhang, S., He, Q., Wang, X., Zhou, Z., Fan, W., Tan, X., et al. (2019) · Matter · doi:10.1016/j.matt.2019.12.025 · Cited by 452 · see citing works

Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time

Kachuee, M., Kiani, M. M., Mohammadzade, H., & Shabany, M. (2015) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2015.7168806 · Cited by 351 · see citing works

Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring

Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348 · see citing works

Optimal Signal Quality Index for Photoplethysmogram Signals

Elgendi, M. (2016) · Bioengineering · doi:10.3390/bioengineering3040021 · Cited by 338 · see citing works

A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals

Bota, P. J., Wang, C., Fred, A. L. N., & Silva, H. (2019) · IEEE Access · doi:10.1109/access.2019.2944001 · Cited by 329 · see citing works

A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure

El-Hajj, C., & Kyriacou, P. A. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.101870 · Cited by 300 · see citing works

Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure

Li, J., Jia, H., Zhou, J., Huang, X., Xu, L., Jia, S., Gao, Z., Yao, K., Li, D., Zhang, B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40763-3 · Cited by 300 · see citing works

Flexible graphene photodetectors for wearable fitness monitoring

Polat, E. O., Mercier, G., Nikitskiy, I., Puma, E., Galán, T., Gupta, S., Marques, M. M., Piqueras, J. J., Bouwens, M., Durduran, T., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw7846 · Cited by 299 · see citing works

Systolic Peak Detection in Acceleration Photoplethysmograms Measured from Emergency Responders in Tropical Conditions

Elgendi, M., Norton, I., Brearley, M. B., Abbott, D., & Schuurmans, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076585 · Cited by 282 · see citing works

Wearable-Based Affect Recognition—A Review

Schmidt, P., Reiss, A., Dürichen, R., & Laerhoven, K. V. (2019) · Sensors · doi:10.3390/s19194079 · Cited by 267 · see citing works

Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques

Chowdhury, M. H., Shuzan, M. N. I., Chowdhury, M. E. H., Mahbub, Z. B., Uddin, M. M., Khandakar, A., & Reaz, M. B. I. (2020) · Sensors · doi:10.3390/s20113127 · Cited by 264 · see citing works

Optical blood pressure estimation with photoplethysmography and FFT-based neural networks

Xing, X., & Sun, M. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.003007 · Cited by 263 · see citing works

How to use digital devices to detect and manage arrhythmias: an EHRA practical guide

Svennberg, E., Tjong, F., Goette, A., Akoum, N., Di Biase, L., Bordachar, P., Boriani, G., Burri, H., Conte, G., Deharo, J. C., et al. (2022) · Europace · doi:10.1093/europace/euac038 · Cited by 261 · see citing works

Wearable Photoplethysmography for Cardiovascular Monitoring

Charlton, P. H., Kyriacou, P. A., Mant, J., Marozas, V., Chowienczyk, P., & Alastruey, J. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3149785 · Cited by 250 · see citing works

An optimal filter for short photoplethysmogram signals

Liang, Y., Elgendi, M., Chen, Z., & Ward, R. (2018) · Scientific Data · doi:10.1038/sdata.2018.76 · Cited by 242 · see citing works

Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research

Nelson, B. W., Low, C. A., Jacobson, N., Areán, P., Torous, J., & Allen, N. B. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0297-4 · Cited by 241 · see citing works

HeartPy: A novel heart rate algorithm for the analysis of noisy signals

van Gent, P., Farah, H., van Nes, N., & van Arem, B. (2019) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.09.015 · Cited by 234 · see citing works

Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method

Mousavi, S. S., Firouzmand, M., Charmi, M., Hemmati, M. R., Moghadam, M., & Ghorbani, Y. (2018) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.08.022 · Cited by 234 · see citing works

Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study

Natarajan, A., Pantelopoulos, A., Emir-Farinas, H., & Natarajan, P. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30246-6 · Cited by 229 · see citing works

Local Crack‐Programmed Gold Nanowire Electronic Skin Tattoos for In‐Plane Multisensor Integration

Gong, S. P., Yap, L. W., Zhu, B., Zhai, Q., Liu, Y., Lyu, Q., Wang, K., Yang, M., Ling, Y., Lai, D. T. H., et al. (2019) · Advanced Materials · doi:10.1002/adma.201903789 · Cited by 224 · see citing works

EM-Wave Biosensors: A Review of RF, Microwave, mm-Wave and Optical Sensing

Mehrotra, P., Chatterjee, B., & Sen, S. (2019) · Sensors · doi:10.3390/s19051013 · Cited by 222 · see citing works

Real-world heart rate norms in the Health eHeart study

Avram, R., Tison, G. H., Aschbacher, K., Kuhar, P., Vittinghoff, E., Butzner, M., Runge, R., Wu, N., Pletcher, M. J., Marcus, G. M., et al. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0134-9 · Cited by 217 · see citing works

A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China

Liang, Y., Chen, Z., Liu, G., & Elgendi, M. (2018) · Scientific Data · doi:10.1038/sdata.2018.20 · Cited by 215 · see citing works

Kirigami‐Inspired Pressure Sensors for Wearable Dynamic Cardiovascular Monitoring

Meng, K., Xiao, X., Liu, Z., Shen, S., Tat, T., Wang, Z., Lu, C., Ding, W., He, X., Yang, J., et al. (2022) · Advanced Materials · doi:10.1002/adma.202202478 · Cited by 208 · see citing works

Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review

Almarshad, M. A., Islam, M. S., Al-Ahmadi, S. A., & BaHammam, A. S. (2022) · Healthcare · doi:10.3390/healthcare10030547 · Cited by 200 · see citing works

Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network

Tanveer, M. S., & Hasan, M. K. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.02.028 · Cited by 190 · see citing works

Cuffless Blood Pressure Measurement

Mukkamala, R., Stergiou, G. S., & Avolio, A. P. (2022) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-110220-014644 · Cited by 180 · see citing works

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Hu, Z., Lou, S., Xing, Y., Wang, X., Cao, D., & Lv, C. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3195635 · Cited by 178 · see citing works

Quantitative comparison of photoplethysmographic waveform characteristics: Effect of measurement site

Hartmann, V., Liu, H., Chen, F., Qiu, Q., Hughes, S., & Zheng, D. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00198 · Cited by 173 · see citing works

Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification

Liang, Y., Chen, Z., Ward, R. K., & Elgendi, M. (2018) · Biosensors · doi:10.3390/bios8040101 · Cited by 170 · see citing works

Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation

Kaisti, M., Panula, T., Leppänen, J., Punkkinen, R., Tadi, M. J., Vasankari, T., Jaakkola, S., Kiviniemi, T., Airaksinen, J. K. E., Kostiainen, P., et al. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0117-x · Cited by 169 · see citing works

Camera Measurement of Physiological Vital Signs

McDuff, D. (2022) · ACM Computing Surveys · doi:10.1145/3558518 · Cited by 167 · see citing works

Heart rate variability measurement through a smart wearable device: another breakthrough for personal health monitoring?

Li, K., Cardoso, C., Moctezuma-Ramirez, A., Elgalad, A., & Perin, E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20247146 · Cited by 160 · see citing works

A novel feature ranking algorithm for biometric recognition with PPG signals

Kavsaoğlu, A. R., Polat, K., & Bozkurt, M. R. (2014) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2014.03.005 · Cited by 160 · see citing works

Stressing the accuracy: Wrist‐worn wearable sensor validation over different conditions

Menghini, L., Gianfranchi, E., Cellini, N., Patron, E., Tagliabue, M., & Sarlo, M. (2019) · Psychophysiology · doi:10.1111/psyp.13441 · Cited by 157 · see citing works

Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism

El-Hajj, C., & Kyriacou, P. A. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102301 · Cited by 153 · see citing works

Measuring acute stress response through physiological signals: towards a quantitative assessment of stress

Arza, A., Garzón-Rey, J. M., Lázaro, J., Gil, E., Lopez-Anton, R., de la Camara, C., Laguna, P., Bailon, R., & Aguiló, J. (2019) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-018-1879-z · Cited by 148 · see citing works

A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data

Martinez-Ríos, E. A., Montesinos, L., Alfaro-Ponce, M., & Pecchia, L. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102813 · Cited by 147 · see citing works

Blood Pressure Estimation Using Photoplethysmogram Signal and Its Morphological Features

Hasanzadeh, N., Ahmadi, M. M., & Mohammadzade, H. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2961411 · Cited by 144 · see citing works

Noninvasive Blood Glucose Monitoring Systems Using Near-Infrared Technology—A Review

Hina, A., & Saadeh, W. (2022) · Sensors · doi:10.3390/s22134855 · Cited by 144 · see citing works

Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants

Charlton, P. H., Bonnici, T., Tarassenko, L., Alastruey, J., Clifton, D. A., Beale, R. J., & Watkinson, P. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa670e · Cited by 140 · see citing works

Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models

El-Hajj, C., & Kyriacou, P. A. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102984 · Cited by 136 · see citing works

Digital Photoplethysmography for Assessment of Arterial Stiffness: Repeatability and Comparison with Applanation Tonometry

von Wowern, E., Östling, G., Nilsson, P. M., & Olofsson, P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0135659 · Cited by 134 · see citing works

A digital biomarker of diabetes from smartphone-based vascular signals

Avram, R., Olgin, J. E., Kuhar, P., Hughes, J. W., Marcus, G. M., Pletcher, M. J., Aschbacher, K., & Tison, G. H. (2020) · Nature Medicine · doi:10.1038/s41591-020-1010-5 · Cited by 133 · see citing works

Photoplethysmography signal processing and synthesis

Mejía-Mejía, E., Allen, J., Budidha, K., El-Hajj, C., Kyriacou, P. A., & Charlton, P. H. (2022) · Photoplethysmography · doi:10.1016/b978-0-12-823374-0.00015-3 · Cited by 138 · see citing works

Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database

Liang, Y., Chen, Z., Ward, R. K., & Elgendi, M. (2018) · Diagnostics · doi:10.3390/diagnostics8030065 · Cited by 132 · see citing works

Assessing mental stress from the photoplethysmogram: a numerical study

Charlton, P. H., Celka, P., Farukh, B., Chowienczyk, P., & Alastruey, J. (2018) · Physiological Measurement · doi:10.1088/1361-6579/aabe6a · Cited by 131 · see citing works

Wearable Emotion Recognition System based on GSR and PPG Signals

Udovičić, G., Đerek, J., Russo, M., & Sikora, M. (2017) · International Workshop on Multimedia for Personal Health and Health Care (MMHealth) · doi:10.1145/3132635.3132641 · Cited by 129 · see citing works

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

RASTGOO, M. N., Nakisa, B., Rakotonirainy, A., Chandran, V., & Tjondronegoro, D. (2018) · ACM Computing Surveys · doi:10.1145/3186585 · Cited by 129 · see citing works

Peripheral vascular disease assessment in the lower limb: a review of current and emerging non-invasive diagnostic methods

Varaki, E. S., Gargiulo, G. D., Penkala, S., & Breen, P. P. (2018) · BioMedical Engineering OnLine · doi:10.1186/s12938-018-0494-4 · Cited by 125 · see citing works

Body Sensor Network for Mobile Health Monitoring, a Diagnosis and Anticipating System

Wannenburg, J., & Malekian, R. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2464773 · Cited by 122 · see citing works

Recent advances in triboelectric nanogenerator-based self-powered sensors for monitoring human body signals

Ou‐Yang, W., Liu, L., Xie, M., Zhou, S., Hu, X., Wu, H., Tian, Z., Chen, X., Zhu, Y., & Li, J. (2023) · Nano Energy · doi:10.1016/j.nanoen.2023.109151 · Cited by 115 · see citing works

PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement

Chandrasekhar, A., Yavarimanesh, M., Natarajan, K., Hahn, J., & Mukkamala, R. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.2976989 · Cited by 113 · see citing works

Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms

Elgendi, M., Liang, Y., & Ward, R. K. (2018) · Diseases · doi:10.3390/diseases6010020 · Cited by 107 · see citing works

Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor

Du, Y., & Stephanus, A. (2018) · Sensors · doi:10.3390/s18072322 · Cited by 107 · see citing works

Cuff-Less Blood Pressure Estimation From Photoplethysmography via Visibility Graph and Transfer Learning

Wang, W., Mohseni, P., Kilgore, K. L., & Najafizadeh, L. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3128383 · Cited by 107 · see citing works

Cuffless Blood Pressure Monitoring from an Array of Wrist Bio-Impedance Sensors Using Subject-Specific Regression Models: Proof of Concept

Ibrahim, B., & Jafari, R. (2019) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2019.2946661 · Cited by 106 · see citing works

Continuous Blood Pressure Estimation Using Exclusively Photopletysmography by LSTM-Based Signal-to-Signal Translation

Harfiya, L. N., Chang, C.-C., & Li, Y. (2021) · Sensors · doi:10.3390/s21092952 · Cited by 106 · see citing works

Detection of a and b waves in the acceleration photoplethysmogram

Elgendi, M., Norton, I., Brearley, M. B., Abbott, D., & Schuurmans, D. (2014) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-13-139 · Cited by 100 · see citing works

A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography

Hina, A., & Saadeh, W. (2020) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2020.2979514 · Cited by 99 · see citing works

Hypertension Assessment Using Photoplethysmography: A Risk Stratification Approach

Liang, Y., Chen, Z., Ward, R. K., & Elgendi, M. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm8010012 · Cited by 99 · see citing works

Measurement of respiratory rate using wearable devices and applications to COVID-19 detection

Natarajan, A., Su, H.-W., Heneghan, C., Blunt, L., O’Connor, C., & Niehaus, L. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00493-6 · Cited by 99 · see citing works

Cuff-less PPG based continuous blood pressure monitoring — A smartphone based approach

Gaurav, A., Maheedhar, M., Tiwari, V. N., & Narayanan, R. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7590775 · Cited by 96 · see citing works

Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy—opportunities and recent advances

Delbeck, S., Vahlsing, T., Leonhardt, S. K., Steiner, G. R., & Heise, H. M. (2018) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-018-1395-x · Cited by 95 · see citing works

How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database

Liang, Y., Abbott, D., Howard, N., Lim, K. I., Ward, R. K., & Elgendi, M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8030337 · Cited by 94 · see citing works

TrueHeart: Continuous Authentication on Wrist-worn Wearables Using PPG-based Biometrics

Zhao, T., Wang, Y., Liu, J., Chen, Y. J., Cheng, J., & Yu, J. (2020) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom41043.2020.9155526 · Cited by 92 · see citing works

Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only

Hsu, Y.-C., Li, Y., Chang, C.-C., & Harfiya, L. N. (2020) · Sensors · doi:10.3390/s20195668 · Cited by 92 · see citing works

Data quality evaluation in wearable monitoring

Böttcher, S., Vieluf, S., Bruno, E., Joseph, B., Epitashvili, N., Biondi, A., Zabler, N., Glasstetter, M., Dümpelmann, M., Van Laerhoven, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-25949-x · Cited by 91 · see citing works

An Algorithm for Real-Time Pulse Waveform Segmentation and Artifact Detection in Photoplethysmograms

Fischer, C., Dömer, B., Wibmer, T., & Penzel, T. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2518202 · Cited by 91 · see citing works

Bioinspired Microstructured Pressure Sensor Based on a Janus Graphene Film for Monitoring Vital Signs and Cardiovascular Assessment

Song, Z., Li, W., Bao, Y., Wang, W., Liu, Z., Han, F., Han, D., & Niu, L. (2018) · Advanced Electronic Materials · doi:10.1002/aelm.201800252 · Cited by 90 · see citing works

Multi-Site Photoplethysmography Technology for Blood Pressure Assessment: Challenges and Recommendations

Chan, G., Cooper, R. E., Hosanee, M., Welykholowa, K., Kyriacou, P. A., Zheng, D., Allen, J., Abbott, D., Lovell, N. H., Fletcher, R., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8111827 · Cited by 89 · see citing works

Sensors Capabilities, Performance, and Use of Consumer Sleep Technology

de Zambotti, M., Cellini, N., Menghini, L., Sarlo, M., & Baker, F. C. (2020) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2019.11.003 · Cited by 88 · see citing works

Development and Validation of a Novel Cuff-Less Blood Pressure Monitoring Device

Watanabe, N., Bando, Y., Kawachi, T., Yamakita, H., Futatsuyama, K., Honda, Y., Yasui, H., Nishimura, K., Kamihara, T., Okumura, T., et al. (2017) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2017.07.015 · Cited by 87 · see citing works

A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography

Rong, M., & Li, K. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102772 · Cited by 85 · see citing works

Estimating blood pressure trends and the nocturnal dip from photoplethysmography

Radha, M., de Groot, K., Rajani, N. B., Wong, C. C. P., Kobold, N., Vos, V., Fonseca, P. M., Mastellos, N., Wark, P. A., Velthoven, N., et al. (2019) · Physiological Measurement · doi:10.1088/1361-6579/ab030e · Cited by 85 · see citing works

A Review on Computation Methods Used in Photoplethysmography Signal Analysis for Heart Rate Estimation

Pankaj, Kumar, A., Komaragiri, R., & Kumar, M. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09597-4 · Cited by 84 · see citing works

A new machine learning method for predicting systolic and diastolic blood pressure using clinical characteristics

Shrivastava, A., Chakkaravarthy, M., & Shah, M. A. (2023) · Healthcare Analytics · doi:10.1016/j.health.2023.100219 · Cited by 84 · see citing works

A Wearable Device and System for Movement and Biometric Data Acquisition for Sports Applications

Kos, M., & Kramberger, I. (2017) · IEEE Access · doi:10.1109/access.2017.2675538 · Cited by 83 · see citing works

Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure

Finnegan, E., Davidson, S. M., Harford, M., Watkinson, P., Tarassenko, L., & Villarroel, M. (2023) · Scientific Reports · doi:10.1038/s41598-022-27170-2 · Cited by 83 · see citing works

A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability

Sarhaddi, F., Kazemi, K., Azimi, I., Cao, R., Niela‐Vilén, H., Axelin, A., Liljeberg, P., & Rahmani, A. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268361 · Cited by 82 · see citing works

A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)

Maqsood, S., Xu, S., Springer, M., & Mohawesh, R. (2021) · IEEE Access · doi:10.1109/access.2021.3117969 · Cited by 81 · see citing works

SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography

Kotzen, K., Charlton, P. H., Salabi, S., Amar, L., Landesberg, A., & Behar, J. A. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3225363 · Cited by 80 · see citing works

Enhanced sub-1 eV detection in organic photodetectors through tuning polymer energetics and microstructure

Jacoutot, P., Scaccabarozzi, A. D., Nodari, D., Panidi, J., Qiao, Z., Schiza, A., Nega, A. D., Dimitrakopoulou‐Strauss, A., Gregoriou, V. G., Heeney, M., et al. (2023) · Science Advances · doi:10.1126/sciadv.adh2694 · Cited by 80 · see citing works

InstaBP: Cuff-less Blood Pressure Monitoring on Smartphone using Single PPG Sensor

Dey, J., Gaurav, A., & Tiwari, V. N. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513189 · Cited by 79 · see citing works

An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications

Galli, A., Montree, R. J. H., Que, S., Peri, E., & Vullings, R. (2022) · Sensors · doi:10.3390/s22114035 · Cited by 79 · see citing works

Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review

Weber, B., Fischer, T., & Riedl‬, R. (2021) · Journal of Systems and Software · doi:10.1016/j.jss.2021.110946 · Cited by 78 · see citing works

Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning

Sharma, P., Choudhary, K., Gupta, K., Chawla, R., Gupta, D. K., & Sharma, A. (2019) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101752 · Cited by 76 · see citing works

Evaluation of the Time Stability and Uniqueness in PPG-Based Biometric System

Hwang, D. Y., Taha, B., Lee, D. S., & Hatzinakos, D. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2020.3006313 · Cited by 76 · see citing works

Sleep Deprivation Deteriorates Heart Rate Variability and Photoplethysmography

Bourdillon, N., Jeanneret, F., Nilchian, M., Albertoni, P., Ha, P., & Millet, G. P. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.642548 · Cited by 76 · see citing works

Soft and flexible piezoelectric smart patch for vascular graft monitoring based on Aluminum Nitride thin film

Natta, L., Mastronardi, V., Guido, F., Algieri, L., Puce, S., Pisano, F., Rizzi, F., Pulli, R., Qualtieri, A., & Vittorio, M. D. (2019) · Scientific Reports · doi:10.1038/s41598-019-44784-1 · Cited by 76 · see citing works

Fabrication of a portable device for stress monitoring using wearable sensors and soft computing algorithms

Golgouneh, A., & Tarvirdizadeh, B. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04278-7 · Cited by 76 · see citing works

Analysis on Four Derivative Waveforms of Photoplethysmogram (PPG) for Fiducial Point Detection

Suboh, M. Z., Jaafar, R., Nayan, N. A., Harun, N. H., & Mohamad, M. S. F. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.920946 · Cited by 75 · see citing works

Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera

Djeldjli, D., Bousefsaf, F., Maaoui, C., Bereksi-Reguig, F., & Pruski, A. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102242 · Cited by 74 · see citing works

Video-based real-time monitoring for heart rate and respiration rate

Alnaggar, M., Siam, A. I., Handosa, M., Medhat, T., & Rashad, M. Z. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120135 · Cited by 74 · see citing works

Development of non-invasive diagnostic tool for diseases using Photo Plethysmography

More, S. V., & Chaudhari, P. C. (2016) · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) · doi:10.1109/wispnet.2016.7566387 · Cited by 6 · see citing works

Photoplethysmogram signal analysis for detecting vital physiological parameters: An evaluating study

Reguig, F. B. (2016) · International Symposium on Signal, Image, Video and Communications (ISIVC) · doi:10.1109/isivc.2016.7893981 · Cited by 13 · see citing works

Photoplethysmography (PPG): state-of-the-art methods and applications

Allen, J., Zheng, D., Kyriacou, P. A., & Elgendi, M. (2021) · Physiological Measurement · doi:10.1088/1361-6579/ac2d82 · Cited by 44 · see citing works

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